In longitudinal studies, marked changes in item salience may occur even if the internal consistency of a scale remains stable over time. Such changes in the pattern of response probabilities are relevant for the substantive interpretation of the scale scores. Also, there may be interindividual differences in item salience within time points. The article demonstrates how Rasch models can be used to study item salience within and across time points. Also, the authors want to demonstrate that even if a test or questionnaire does not fulfill the assumptions of the Rasch model, it can be used to obtain information on item functioning across participants and over time. The method is illustrated using data from the Baltimore Prevention Program. Th...
In mental health care, both clinical and scientific decisions are based on within-subject comparison...
In mental health care, both clinical and scientific decisions are based on within-subject comparison...
Longitudinal data is commonly analysed to inform prevention policies for diseases that may develop t...
This article provides readers with an accessible and minimally technical description of foundational...
Introduction. The Medical Outcome Study Short Form 36 (SF-36) is widely used for measuring Health-Re...
International audienceBACKGROUND:A specific measurement issue often occurs in cohort studies with lo...
Introduction. The Medical Outcome Study Short Form 36 (SF-36) is widely used for measuring Health-Re...
Growth modeling using longitudinal data seems to be a promising direction for improving the methodol...
Longitudinal surveys measuring physical or mental health status are a common method to evaluate trea...
Growth modeling using longitudinal data seems to be a promising direction for improving the methodol...
International audienceIn order to investigate patients’ experience of healthcare, repeated assessmen...
Objectives: Responsiveness is one of nine measurement properties that reflect the quality of outcome...
Variables present in an individual, for example, independence, pain, balance, fatigue, depression an...
Longitudinal data is essential for understanding how the world around us changes. Most theories in t...
In mental health care, both clinical and scientific decisions are based on within-subject comparison...
In mental health care, both clinical and scientific decisions are based on within-subject comparison...
Longitudinal data is commonly analysed to inform prevention policies for diseases that may develop t...
This article provides readers with an accessible and minimally technical description of foundational...
Introduction. The Medical Outcome Study Short Form 36 (SF-36) is widely used for measuring Health-Re...
International audienceBACKGROUND:A specific measurement issue often occurs in cohort studies with lo...
Introduction. The Medical Outcome Study Short Form 36 (SF-36) is widely used for measuring Health-Re...
Growth modeling using longitudinal data seems to be a promising direction for improving the methodol...
Longitudinal surveys measuring physical or mental health status are a common method to evaluate trea...
Growth modeling using longitudinal data seems to be a promising direction for improving the methodol...
International audienceIn order to investigate patients’ experience of healthcare, repeated assessmen...
Objectives: Responsiveness is one of nine measurement properties that reflect the quality of outcome...
Variables present in an individual, for example, independence, pain, balance, fatigue, depression an...
Longitudinal data is essential for understanding how the world around us changes. Most theories in t...
In mental health care, both clinical and scientific decisions are based on within-subject comparison...
In mental health care, both clinical and scientific decisions are based on within-subject comparison...
Longitudinal data is commonly analysed to inform prevention policies for diseases that may develop t...